Azure AI Cloud Engineer

FUJIFILM Electronic Materials, U.S.A., Inc., is a global leader in chemical solutions which enable the semiconductor industry and the digital universe. We have an exciting opportunity at our Mesa, AZ facility for an Azure AI Cloud Engineer!

The Azure AI Cloud Engineer designs, implements, and manages cloud-based infrastructure and services within the Microsoft Azure ecosystem. Provides support in Azure architecture, automation, networking, security, and performance optimization. Implements strong cloud principles, Infrastructure-as-Code (IaC), Dev Ops methodologies, and enterprise-grade security standards.

FUJIFILM Electronic Materials, U.S.A. fuels innovation in the semiconductor industry - where chemistry meets technology. Our advanced materials and formulations enable manufacturers to build the microchips that power Artificial Intelligence, computers, electric vehicles, smartphones, and more.

We’re a global business-to-business supplier of chemical formulations and advanced materials used for manufacturing and packaging semiconductors. Our chemical formulations allow top manufacturers to produce microchips that both power and connect our digital world. Think you've got what it takes to build a more connected world? Then connect with us today and challenge the boundaries of what’s possible - for the world and your future.

We have six U.S. manufacturing and Research & Development facilities, located in:
Mesa, Arizona;
Castroville, California;
Hollister, California;
Carrollton, Texas; and North Kingstown, Rhode Island - each offering unique local experiences, from vibrant cultural scenes to historic charm.

Fujifilm is globally headquartered in Tokyo with over 70,000 employees across four key business segments of healthcare, electronics, business innovation, and imaging. We are guided and united by our Group Purpose of "giving our world more smiles." Visit:

• AI & ML Integration:
  Build retrieval-augmented generation (RAG) pipelines and integrate Large Language Models (LLMs) like Snowflake Cortex and Azure AI into enterprise data architectures.
• Pipeline Development:
  Design and optimize complex ETL/ELT pipelines for structured and semi-structured data using tools like Azure Data Factory and Snowpipe.
• Snowflake Platform Administration:
  Provision and manage Snowflake compute warehouses, ensuring platform security, RBAC (Role-Based Access Control), and cost governance within the Azure environment.
• Cross-Functional Collaboration:
  
  Partner with Data Scientists, MLOps, and business stakeholders to operationalize AI use cases, from proofs-of-concept (POCs) to production scale.
• Automation & CI/CD:
  Develop infrastructure-as-code (IaC) and automate workflows using CI/CD pipelines (e.g., Azure Dev Ops, Terraform).
• Leadership & Project Management:
  Lead team coordination between IT functions and manufacturing needs. Manage large projects from concept to full implementation. Manage team members to meet deadlines and milestones.
• Configuring servers and databases
• Preserving data integrity

• High School diploma or GED and a minimum of 12 years of experience is required.
• Bachelor’s degree in computer science or mathematics and 8 plus years of experience or an AS degree and 10 plus years of experience is preferred.
• A minimum of 5 years of experience supporting a manufacturing environment.
• Experience in project management and implementation.
• Experience with people management/mentorship.
• Hands-on experience with building AI models in Snowflake.
• Devops merging and branching knowledge required.
• PowerBI or similar reporting tool development experience.
• Experience working with Business Intelligence and Data Warehousing.
• Prof…